langchain/libs/partners/qdrant
2025-01-07 15:31:50 -08:00
..
langchain_qdrant Improvement[Partner] Improve qdrant vector store (#27251) 2024-11-07 02:42:41 +00:00
scripts multiple: pydantic 2 compatibility, v0.3 (#26443) 2024-09-13 14:38:45 -07:00
tests qdrant: test new QdrantVectorStore (#24165) 2024-07-12 23:59:30 +00:00
.gitignore qdrant: init package (#21146) 2024-05-13 18:20:03 -07:00
LICENSE qdrant: init package (#21146) 2024-05-13 18:20:03 -07:00
Makefile multiple: disable socket for unit tests (#29080) 2025-01-07 15:31:50 -08:00
poetry.lock multiple: disable socket for unit tests (#29080) 2025-01-07 15:31:50 -08:00
pyproject.toml multiple: disable socket for unit tests (#29080) 2025-01-07 15:31:50 -08:00
README.md qdrant: init package (#21146) 2024-05-13 18:20:03 -07:00

langchain-qdrant

This package contains the LangChain integration with Qdrant.

Installation

pip install -U langchain-qdrant

Usage

The Qdrant class exposes the connection to the Qdrant vector store.

from langchain_qdrant import Qdrant

embeddings = ... # use a LangChain Embeddings class

vectorstore = Qdrant.from_existing_collection(
    embeddings=embeddings,
    collection_name="<COLLECTION_NAME>",
    url="http://localhost:6333",
)